topology
2 posts
Vectors vs Graphs: How Topology and Geometry Are Transforming Machine Learning
The debate between vector embeddings and graph representations has become increasingly prominent in AI and machine learning circles. We see constant arguments about which is superior, or proposals for hybrid approaches combining both. But I’ve come to an intriguing realization: perhaps we don’t need to choose between them at all. What we actually need are different kinds of embeddings for different purposes, and the key to understanding this lies in topology and geometry.
Jan 15, 2026